{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Upload data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "use \"https://github.com/SaoriIwa/Stata-IE-Visual-Library/raw/master/Library/Line%20plots/data.dta\", clear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Getting the treatment effect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "qui reg y_var x_var post x_var_post control"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Saving values for the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "local   beta_pre  = round(_b[x_var],0.001)\n",
    "local \tbeta_post = round(_b[x_var] + _b[x_var_post],0.001)\n",
    "\n",
    "qui test \t_b[x_var_post] = 1\n",
    "local \tf_pre = round(r(p),0.001)\n",
    "qui if \t\t`f_pre' == 0 local f_pre = \"0.000\"\n",
    "\n",
    "qui test \t_b[x_var_post] + _b[x_var_post] = 1\n",
    "local \tf_post = round(r(p),0.001)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 4. Creating the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "twoway \t(lfitci y_hat x_var if post == 1, color(\"222 235 247\") lwidth(.05)) ///\n",
    "\t(lfitci y_hat x_var if post == 0, color(gs15)) /// \n",
    "\t(lfit\tx_var x_var\tif post == 1, color(red) lwidth(.5) lpattern(dash)) ///\n",
    "\t(lfit \ty_hat x_var\tif post == 0, color(gs8) lwidth(.5)) /// \n",
    "\t(lfit \ty_hat x_var\tif post == 1, color(edkblue) lwidth(.5)), ///\n",
    "\ttext(5 9 \"Pre-treatment\" \"Regression coefficent: 0`beta_pre'\" \"P-value of coefficent = 1: `f_pre'\" ///\n",
    "\t\t 12 9 \"Post-treatment\" \"Regression coefficent: 0`beta_post'\" \"P-value of coefficent = 1: 0`f_post'\", ///\n",
    "\t\t orient(horizontal) size(vsmall) justification(center) fcolor(white) box margin(small)) ///\n",
    "\txtitle(\"Independent variable value\") ///\n",
    "\tytitle(\"Predicted value of dependent variable\") ///\n",
    "\tlegend(order (6 \"Pre-treatment\" 7 \"Post-treatment\" 3 \"Pre-treatment 95%CI\" 1 \"Pre-treatment 95%CI\")) ///\n",
    "\tgraphregion(color(white)) bgcolor(white)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 5. Exporting the graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "> `f_post'\",    orient(horizontal) size(vsmall) justification(center) fcolor(white) box margin(small))  xtitle(\"Independent variable value\")  ytitle(\"Predicted value of dependent variable\")  legend(order (6 \"Pre-treatment\" 7 \"Post-treatment\" 3 \"Pre-treatm\n",
      "> ent 95%CI\" 1 \"Pre-treatment 95%CI\"))  graphregion(color(white)) bgcolor(white)\n",
      "\n",
      ". noi gr export C:/Users/Saori/.stata_kernel_cache/graph${stata_kernel_graph_counter}.png, width(600) replace        \n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "This front-end cannot display the desired image type."
      ]
     },
     "metadata": {
      "image/png": {
       "height": 436,
       "width": 600
      }
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      ". global stata_kernel_graph_counter = $stata_kernel_graph_counter + 1        \n",
      "\n",
      ". `629045ccbbd206d5dbc9232b5e15f1ed'\n",
      "\n"
     ]
    }
   ],
   "source": [
    "qui gr export \"figure.png\", width(5000) replace"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Stata",
   "language": "stata",
   "name": "stata"
  },
  "language_info": {
   "file_extension": ".do",
   "mimetype": "text/x-stata",
   "name": "stata"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
